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Proceedings Paper

Application of curvelet transform for denoising of CT images
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Paper Abstract

The paper presents a method of noise reduction in CT images by the curvelet transform. Noise affects the ability to visualize pathologic qualities and the living tissues structure in CT. Noise in CT images depends on the amount of discrete x-ray photons reaching the detector. In the CT images, noise is responsible for visibility reduction the low contrast areas and objects. Noisy picture may not be properly interpreted by a physician, especially for the case of detection of pathological changes in tissues. The tests were performed with the Shepp-Logan test image with additive Gaussian noise.

Paper Details

Date Published: 11 September 2015
PDF: 6 pages
Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 966226 (11 September 2015); doi: 10.1117/12.2205483
Show Author Affiliations
Tomasz Ławicki, Lublin Univ. of Technology (Poland)
Oxana Zhirnova, Kazakh National Technical Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 9662:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
Ryszard S. Romaniuk, Editor(s)

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